Children of War Resisters: Intergenerational Transmission of Activism, Political Orientation, Injustice Frames, and Law Resistance
Bibliographic record
Abstract
American Vietnam War resisters participated in one of the largest politically motivated emigrations in US history. John Hagan provided the most comprehensive study of American war resisters living in Canada in his award-winning book Northern Passage. Hagan documented how law resistance intersected with social movement participation and sustained activism. In this article, I extend Hagan’s life course analysis of law resistance by interviewing fifty-one adult children of the war resisters originally in Hagan’s sample, supplemented with eighteen surveys completed by the parents about their child, producing eighty-two distinct parent-child relationship pairs. This unique intergenerational study finds that American war resister parents radically influenced their offspring’s activism. The adult children of war resisters highly resemble their parents’ political views and activism. Further, I elaborate on the concept of a participation identity to suggest four fundamental mechanisms that facilitate activism of the offspring of war resisters: (1) resonates with their identities and life histories; (2) inspired by their parents’ activism; (3) adoption of an injustice frame; and (4) optimism that social movements are effective vehicles of social change. This research demonstrates that American war resister children in Canada are both attitudinally disposed to, and structurally available for, activism.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".